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Google Scholar Web Scraper

The Scholar Web Scraping System is a project that showcases the ability to automatically collect data from the Google Scholar website. It demonstrates how data can be extracted from Google Scholar based on user queries and desired data points. The collected data is then stored in an Excel sheet for further analysis and the potential creation of AI models. This system highlights the capabilities of web scraping to automate data collection from Google Scholar. Users can define their queries and the number of data points they want, making the process more efficient. Storing the data in an Excel sheet allows for easy analysis and empowers users to explore insights or create AI models using the Google Scholar data. This project emphasizes the potential of web scraping and data analysis in utilizing academic resources for research, knowledge discovery, and data-driven applications.

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